code: def __init__(self, *args, **kwargs):
      super(GymWrapperEnvironmentMock, self).__init__(*args, **kwargs)
      self._info = {}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.specs import array_spec
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 1 to create a new GymWrapperEnvironmentMock object from inherited base classes: random_py_environment with example: obj = GymWrapperEnvironmentMock()